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{
"name": "py37-emcee3",
"portdir": "python/py-emcee3",
"version": "3.1.4",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://emcee.readthedocs.io/en/stable/",
"description": "affine-invariant ensemble MCMC sampling",
"long_description": "emcee is a stable, well tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010). The code is open source and has already been used in several published projects in the astrophysics literature.",
"active": false,
"categories": [
"science",
"math",
"python"
],
"maintainers": [
{
"name": "aronnax",
"github": "lpsinger",
"ports_count": 401
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
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"clang-15",
"py37-setuptools_scm"
]
},
{
"type": "lib",
"ports": [
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},
{
"type": "test",
"ports": [
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"py37-pytest",
"py37-scipy"
]
}
],
"depends_on": []
}